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 "cells": [
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   "cell_type": "markdown",
   "source": [
    "# Starter notebook for working with daily S&P 500 data"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Standard Python imports"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Read saved data from CSV"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "sp500d = pd.read_csv(r'../data/sp500d.csv', index_col=\"caldt\", parse_dates=True)\n",
    "sp500d.info()\n",
    "sp500d"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Analysis"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
 ],
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